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Lightweight Formal Methods for Correct, Efficient Systems Programming- [electronic resource]
Lightweight Formal Methods for Correct, Efficient Systems Programming - [electronic resour...
Lightweight Formal Methods for Correct, Efficient Systems Programming- [electronic resource]

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자료유형  
 학위논문파일 국외
최종처리일시  
20240214101508
ISBN  
9798380317580
DDC  
004
저자명  
VanHattum, Alexa.
서명/저자  
Lightweight Formal Methods for Correct, Efficient Systems Programming - [electronic resource]
발행사항  
[S.l.]: : Cornell University., 2023
발행사항  
Ann Arbor : : ProQuest Dissertations & Theses,, 2023
형태사항  
1 online resource(152 p.)
주기사항  
Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
주기사항  
Advisor: Sampson, Adrian.
학위논문주기  
Thesis (Ph.D.)--Cornell University, 2023.
사용제한주기  
This item must not be sold to any third party vendors.
초록/해제  
요약Compilers are foundational to everything we ask our computers to do-applications can only be as efficient and reliable as the underlying compiler stack that translates their logic to machine code. But compiler expertise is a finite resource, and engineers may have to choose whether to prioritize adding optimizations for efficiency or validating their existing features for reliability. This dissertation presents three systems that use lightweight, practical formal methods to push past this tension between performance and correctness. The Diospyros compiler combines an efficient term-rewriting strategy, equality saturation, with translation validation to find correct, fast vectorizations for specialized linear algebra tasks on digital signal processors. The Kani verifier for Rust leverages compiler invariants to improve the performance of dynamically dispatched methods in a satisfiability-solver-based model checker for low-level systems code. Finally, the VeriISLE engine uses annotations to automatically verify machine code generation in Cranelift, a popular production compiler infrastructure for WebAssembly where miscompilation bugs can cause serious security vulnerabilities. In sum, these projects point to a future where formal methods help us build compilers for fast and reliable computer systems.
일반주제명  
Computer science.
일반주제명  
Computer engineering.
키워드  
Compilers
키워드  
Formal methods
키워드  
Programming languages
키워드  
Computer systems
키워드  
Digital signal processors
기타저자  
Cornell University Computer Science
기본자료저록  
Dissertations Abstracts International. 85-03B.
기본자료저록  
Dissertation Abstract International
전자적 위치 및 접속  
로그인 후 원문을 볼 수 있습니다.

MARC

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■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a004
■1001  ▼aVanHattum,  Alexa.▼0(orcid)0000-0001-6128-8907
■24510▼aLightweight  Formal  Methods  for  Correct,  Efficient  Systems  Programming▼h[electronic  resource]
■260    ▼a[S.l.]:▼bCornell  University.  ▼c2023
■260  1▼aAnn  Arbor  :▼bProQuest  Dissertations  &  Theses,  ▼c2023
■300    ▼a1  online  resource(152  p.)
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-03,  Section:  B.
■500    ▼aAdvisor:  Sampson,  Adrian.
■5021  ▼aThesis  (Ph.D.)--Cornell  University,  2023.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■520    ▼aCompilers  are  foundational  to  everything  we  ask  our  computers  to  do-applications  can  only  be  as  efficient  and  reliable  as  the  underlying  compiler  stack  that  translates  their  logic  to  machine  code.  But  compiler  expertise  is  a  finite  resource,  and  engineers  may  have  to  choose  whether  to  prioritize  adding  optimizations  for  efficiency  or  validating  their  existing  features  for  reliability.  This  dissertation  presents  three  systems  that  use  lightweight,  practical  formal  methods  to  push  past  this  tension  between  performance  and  correctness.  The  Diospyros  compiler  combines  an  efficient  term-rewriting  strategy,  equality  saturation,  with  translation  validation  to  find  correct,  fast  vectorizations  for  specialized  linear  algebra  tasks  on  digital  signal  processors.  The  Kani  verifier  for  Rust  leverages  compiler  invariants  to  improve  the  performance  of  dynamically  dispatched  methods  in  a  satisfiability-solver-based  model  checker  for  low-level  systems  code.  Finally,  the  VeriISLE  engine  uses  annotations  to  automatically  verify  machine  code  generation  in  Cranelift,  a  popular  production  compiler  infrastructure  for  WebAssembly  where  miscompilation  bugs  can  cause  serious  security  vulnerabilities.  In  sum,  these  projects  point  to  a  future  where  formal  methods  help  us  build  compilers  for  fast  and  reliable  computer  systems.
■590    ▼aSchool  code:  0058.
■650  4▼aComputer  science.
■650  4▼aComputer  engineering.
■653    ▼aCompilers
■653    ▼aFormal  methods
■653    ▼aProgramming  languages
■653    ▼aComputer  systems
■653    ▼aDigital  signal  processors
■690    ▼a0984
■690    ▼a0464
■690    ▼a0800
■71020▼aCornell  University▼bComputer  Science.
■7730  ▼tDissertations  Abstracts  International▼g85-03B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0058
■791    ▼aPh.D.
■792    ▼a2023
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16933933▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202402▼f2024

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